Clinical application of nanopore-targeted sequencing technology in bronchoalveolar lavage fluid from patients with pulmonary infections

被引:6
|
作者
Ye, Jiayuan [1 ,2 ]
Huang, Kai [3 ]
Xu, Yaojiang [2 ]
Chen, Nan [2 ]
Tu, Yifei [4 ]
Huang, Jing [5 ]
Shao, Longfei [6 ]
Kong, Weiliang [7 ]
Zhao, Dongdong [8 ]
Xie, Yilian [9 ]
机构
[1] Ningbo Univ, Hlth Sci Ctr, Ningbo, Zhejiang, Peoples R China
[2] Shangyu Peoples Hosp Shaoxing, Dept Infect Dis, Shaoxing, Zhejiang, Peoples R China
[3] Ningbo Univ, Affiliated Hosp 1, Dept Gen Med, Ningbo, Zhejiang, Peoples R China
[4] Shangyu Peoples Hosp Shaoxing, Dept Radiol, Shaoxing, Zhejiang, Peoples R China
[5] Shangyu Peoples Hosp Shaoxing, Dept Resp, Shaoxing, Zhejiang, Peoples R China
[6] Dian Diagnost Grp Co Ltd, Key Lab Digital Technol Med Diagnost Zhejiang Prov, Hangzhou, Zhejiang, Peoples R China
[7] Ningbo Univ, Affiliated Hosp 1, Dept Resp & Crit Care Med, Ningbo, Zhejiang, Peoples R China
[8] Zhejiang Univ, Sir Run Run Shaw Hosp, Sch Med, Dept Infect Dis, Hangzhou, Zhejiang, Peoples R China
[9] Ningbo Univ, Affiliated Hosp 1, Dept Infect Dis, Ningbo, Zhejiang, Peoples R China
来源
MICROBIOLOGY SPECTRUM | 2024年 / 12卷 / 06期
关键词
pulmonary infection; bronchoalveolar lavage fluid; pathogen detection; nanopore; clinical diagnosis; COMMUNITY-ACQUIRED PNEUMONIA; DIAGNOSIS; BACTERIA;
D O I
10.1128/spectrum.00026-24
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The rapid and effective identification of pathogens in patients with pulmonary infections has posed a persistent challenge in medicine, with conventional microbiological tests (CMTs) proving time-consuming and less sensitive, hindering early diagnosis of respiratory infections. While there has been some research on the clinical performance of targeted sequencing technologies, limited focus has been directed toward bronchoalveolar lavage fluid (BALF). This study primarily evaluates the pathogen detection capabilities of nanopore-targeted sequencing (NTS) in BALF, providing a comprehensive analysis. The retrospective study, spanning from January 2022 to November 2023, includes 223 patients exclusively sourced from a single center. We conducted a detailed comparative analysis among NTS, targeted next-generation sequencing (tNGS), and CMTs. Initially, we compared the detection capabilities of NTS and tNGS and found no significant differences in their sensitivity and specificity. Specifically, we observed that the sensitivity of NTS was significantly higher than that of CMTs (74.83% vs 33.11%, P < 0.001). Furthermore, NTS exhibited a higher positivity rate in common pulmonary infections (62.88% vs. 23.48%) and in clinically suspected tuberculosis patients compared to CMTs (87.18% vs. 48.72%). Additionally, NTS showed less susceptibility to antibiotic interference, indicating a more sensitive detection capability, especially in detecting fastidious organisms. It complements GeneXpert in tuberculosis diagnosis and offers excellent advantages in identifying pathogens challenging for CMTs, such as non-tuberculous mycobacteria and viruses. Moreover, NTS significantly shortens the reporting time and is only a quarter of the cost of metagenomic next-generation sequencing. Clearly, NTS can facilitate faster and more cost-effective early diagnosis of respiratory infections. IMPORTANCE This study holds paramount significance in advancing the field of respiratory infection diagnostics. By assessing the pathogen detection capabilities in bronchoalveolar lavage fluid (BALF) of patients with pulmonary infections, we illuminate the promising potential of nanopore-targeted sequencing (NTS). The findings underscore NTS as a comparable yet distinct alternative to traditional methods like comprehensive conventional microbiological tests (CMTs). Notably, NTS demonstrates a pivotal edge, expanding the spectrum of identified pathogens, particularly excelling in the detection of challenging entities like non-tuberculous mycobacteria and viruses. The study also highlights the complementary role of NTS alongside GeneXpert in the identification of tuberculosis, providing a comprehensive overview of the diagnostic landscape for respiratory infections. This insight carries significant implications for clinicians seeking rapid, cost-effective, and accurate diagnostic tools in the realm of pulmonary infections.
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页数:15
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